Uma técnica para segmentação de vias aéreas em imagens de tomografia dos pulmões é desenvolvida e apresentada. Essa técnica utiliza segmentação por crescimento de regiões, por densidade e pelo método de contornos ativos. Uma comparação entre os métodos é efetuada.
The study of pulmonary diseases and its treatments are significantly important, because most of the world population is affected by these diseases, which includes bronchial diseases such as asthma, bronchiectasis and bronchitis. The diagnosis of bronchial diseases is based in the conditions of the airways. Due to this fact, it is very important for the public health care to make and determine correct precocious diagnosis to detect real levels of pulmonary diseases, in which it has a great influence of accurate identification of the conditions of pulmonary airways. For that reason, the airway automatic segmentation is a fundamental step. This study evaluates algorithms based in local analysis of pulmonary densities, active contours and region growing to segment the pulmonary airway. In conclusion, we present satisfactory results for the airway automatic segmentation.
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